Establishing a Framework for Fused Filament Fabrication Process Optimization: A Case Study with PLA Filaments

Area of Science:

• Materials Science
• Manufacturing Engineering
• Polymer Science

Background:

• Polymer 3D printing (3DP) technologies, particularly fused filament fabrication (FFF), are expanding into consumer markets.
• FFF enables rapid, low-cost production of complex parts using materials like polylactic acid (PLA).
• Scalability challenges in functional part production stem from FFF's complex parameter space, including material, printer, and slicer settings.

Purpose of the Study:

• To establish a multi-step process optimization methodology for fused filament fabrication (FFF).
• To enhance the accessibility of FFF across various material types, using polylactic acid (PLA) as a case study.
• To address the difficulties in optimizing FFF's complex parameter space for functional part production.

Main Methods:

• Developed a multi-step optimization process encompassing printer calibration, slicer setting adjustments, and post-processing.
• Utilized polylactic acid (PLA) as a case study material to validate the optimization framework.
• Investigated the impact of nozzle temperature, print bed conditions, infill settings, and annealing on part dimensions and tensile properties.

Main Results:

• Identified filament-specific deviations in optimal print conditions for FFF.
• Demonstrated that part dimensions and tensile properties are significantly influenced by the interplay of print parameters and annealing.
• Established a framework for filament-specific optimization in FFF processes.

Conclusions:

• A filament-specific optimization framework is crucial for maximizing FFF process efficiency and part quality.
• Implementing this methodology beyond PLA can facilitate the processing of new materials.
• This approach enhances the applicability of FFF in the broader 3D printing field.